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Reliable Self-Learning Production Systems Based on Context Aware Services

Objective

The strategic objective is to strengthen EU leadership in production technologies in the global marketplace by developing innovative self-learning solutions to enable tight integration of control & maintenance of production systems. The project will develop highly reliable and secure service-based self-learning solutions aiming at that integration. The Methodology addressing organisational aspects of such a radical change in production systems, within extended enterprise concept, applying lean principles will be elaborated. Approaches based on SOA principles, using distributed networked embedded services in device space, are the most appropriate for implementation of such self-learning solutions. The main obstacles to fully utilize the opportunities offered by service-based self-learning systems are problems related to reliability, availability, interoperability and security & trust of diverse SW services. Context awareness, providing information about the processes & equipment and circumstances under which the services operate and allowing them to react accordingly, is a promising holistic approach to assure needed self-learning adaptation to changes in processes and equipment states and, on the other hand, Quality of Services needed for such self-learning production systems. The project will develop context models and self-learning context extractor, self-learning adapter for control, maintenance and parameter identification, as well as SOA based infrastructure including security & trust framework and an agent based middleware introduced in the service structure. The project will be driven by three industrial application scenarios from 3 industrial partners, where self-learning components and SOA infrastructure for integrated control and maintenance will be applied for machine tools, FMS and assembly lines in discrete manufacturing. The proposed approach will lead to maintenance costs reduction of 12%, and to an increase by 10% of Overall Equipment Effectiveness

Field of science

  • /social sciences/sociology/governance/public services

Call for proposal

FP7-NMP-2008-SMALL-2
See other projects for this call

Funding Scheme

CP-FP - Small or medium-scale focused research project

Coordinator

INSTITUT FÜR ANGEWANDTE SYSTEMTECHNIK BREMEN GMBH
Address
Wiener Strasse 1
28359 Bremen
Germany
Activity type
Research Organisations
EU contribution
€ 441 275
Administrative Contact
Daniel Obreiter (Mr.)

Participants (6)

BOSCH REXROTH AG
Germany
EU contribution
€ 264 011
Address
Zum Eisengiesser 1
97816 Lohr
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Ralf Bonefeld (Dr.)
X/OPEN COMPANY LIMITED
United Kingdom
EU contribution
€ 295 641
Address
Forbury Road Apex Plaza
RG1 1AX Reading
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Scott Hansen (Mr.)
UNINOVA-INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIAS-ASSOCIACAO
Portugal
EU contribution
€ 326 400
Address
Campus Da Caparica Quinta Da Torre
2829-516 Caparica
Activity type
Research Organisations
Administrative Contact
Jose Barato (Prof.)
KLOECKNER DESMA Schuhmaschinen GmbH
Germany
EU contribution
€ 222 880
Address
Desmastrasse 3-5
28832 Achim
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
André Förster (Mr.)
TTY-SAATIO
Finland
EU contribution
€ 304 461
Address
Korkeakoulunkatu 10
33720 Tampere
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Jose Luis Martinez Lastra (Prof.)
Fastems Oy Ab
Finland
EU contribution
€ 255 332
Address
Tuotekatu 4
33840 Tampere
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Jani Granholm (Mr.)